Paper: ORBIT-Q: Dual-axis benchmarking of autonomous agents in scientific quantum programming

type: paper title: "ORBIT-Q: Dual-axis benchmarking of autonomous agents in scientific quantum programming" authors: Shi-Xin Zhang, Yu-Qin Chen year: 2026 venue: arXiv url: https://arxiv.org/abs/2607.03105 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-07-03 updated_at: 2026-07-03 status: queued relevance: high topics:

agent-evaluation
coding-agent
workflow-agent methods:

benchmarks:

models:

datasets:

quant-ph related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: coding-agent

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

matched queries: coding-agent
inferred topics: agent-evaluation, coding-agent, workflow-agent
arXiv categories: quant-ph
collection score: 13

Review Checklist

Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
Does it include a benchmark, dataset, code, or reproducible experimental setup?
Should it be promoted from queued to skimmed or summarized?

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